Environment package

Environment module:

• MAB, MarkovianMAB, ChangingAtEachRepMAB, IncreasingMAB, PieceWiseStationaryMAB, NonStationaryMAB objects, used to wrap the problems (essentially a list of arms).

• Result and ResultMultiPlayers objects, used to wrap simulation results (list of decisions and rewards).

• Evaluator environment, used to wrap simulation, for the single player case.

• EvaluatorMultiPlayers environment, used to wrap simulation, for the multi-players case.

• EvaluatorSparseMultiPlayers environment, used to wrap simulation, for the multi-players case with sparse activated players.

• CollisionModels implements different collision models.

And useful constants and functions for the plotting and stuff:

• DPI, signature(), maximizeWindow(), palette(), makemarkers(), wraptext(): for plotting,

• notify(): send a desktop notification,

• Parallel(), delayed(): joblib related,

• tqdm: pretty range() loops,

• sortedDistance, fairnessMeasures: science related,

• getCurrentMemory(), sizeof_fmt(): to measure and pretty print memory consumption.

Submodules

• Environment.CollisionModels module
• Environment.Evaluator module
• Environment.EvaluatorMultiPlayers module
• Environment.EvaluatorSparseMultiPlayers module
• Environment.MAB module
• Environment.MAB_rotting module
• Environment.Result module
• Environment.ResultMultiPlayers module
• Environment.fairnessMeasures module
• Environment.memory_consumption module
• Environment.notify module
• Environment.plot_Cmu_HOI module
• Environment.plotsettings module
• Environment.pykov module
• Environment.sortedDistance module
• Environment.usejoblib module
• Environment.usenumba module
• Environment.usetqdm module